A Statistical Method of Learning Situation Based on Learning Tracking Model

A technology of learning situation and tracking model, which is applied in the field of learning statistics based on the learning tracking model, and can solve the problems of high development and operation costs of the learning system and complex statistical processes, etc.

Active Publication Date: 2020-09-11
BEIJING ZHENGBAO YUCAI EDUCATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the above analysis, the present invention aims to provide a method for learning statistics based on the learning tracking model, in order to solve the existing learning system, the statistical process is complex, and the learning system development and operating costs are high.

Method used

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  • A Statistical Method of Learning Situation Based on Learning Tracking Model
  • A Statistical Method of Learning Situation Based on Learning Tracking Model
  • A Statistical Method of Learning Situation Based on Learning Tracking Model

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Embodiment Construction

[0055] Preferred embodiments of the present invention will be specifically described below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and are used together with the embodiments of the present invention to explain the principles of the present invention.

[0056] The present invention abstracts the content corresponding to the user's class time, reading, and doing questions into an interval composed of ordered and continuous point sets, and what content is read, which pages are read, and what questions are done are distributed in subintervals of this interval.

[0057] For video tutorials, each second of the video length can be regarded as a collection of continuous and orderly points. Whether the user plays continuously or jumps to watch, he can calculate the effective viewing range of the user and the repeated viewing range. repeat etc.

[0058] For the case of making questions, treat each question in...

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Abstract

The invention relates to a learning situation statistical method based on a learning tracking model. The learning tracking model specifically comprises a tracking information class, a Range class, a Repeated class, and a LastResult class, wherein the Range class is aggregated into the tracking information class, and the Range class is also aggregated into the Repeated class and the LastResult class. The tracking information class is used for representing tracking information and comprises tracking fragment information and identification information. The Range class represents a general closed interval for recording a range, an interval initial value and an interval end value. The Repeated class is used for representing the range of a repetition effect and comprises the identification information and the range of the repetition effect. The LastResult class is used for representing the latest the effect range situation statistics and comprises the statistical information of the effect range. The method can simplify the development of a system, saves cost from storage space and computing time bidirectionally, and can control tracking and calculation granularity flexibly without affecting the structure of a model.

Description

technical field [0001] The invention relates to the technical field of online network education, in particular to a learning statistics method based on a learning tracking model. Background technique [0002] In the technical field of online network education, the statistics of user learning in the prior art are generally specific statistics for specific fields, such as how much time is spent watching videos, how many times faster they are watched, how much time is effective for watching lessons, and Reading, completion of questions, etc., these statistics are carried out using independent and different models. After a long period of observation and thinking about the operation of the online education system, it is found that these independent models take up a lot of running time and space, the granularity of learning tracking statistics cannot be flexibly controlled, and the amount of statistical calculation is large. Therefore, it is necessary to provide a unified model a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/20
CPCG06Q50/205
Inventor 祝敏李学斌周明明桑杉
Owner BEIJING ZHENGBAO YUCAI EDUCATION TECH CO LTD
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